{"pageNumber":"155","pageRowStart":"3850","pageSize":"25","recordCount":184553,"records":[{"id":70256556,"text":"70256556 - 2024 - An update of the ichthyofauna of West Virginia with notes on historic sportfish stockings","interactions":[],"lastModifiedDate":"2024-08-09T00:11:01.888563","indexId":"70256556","displayToPublicDate":"2024-06-28T19:07:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"An update of the ichthyofauna of West Virginia with notes on historic sportfish stockings","docAbstract":"<div id=\"divARTICLECONTENTTop\"><div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">The management and conservation of faunas at regional scales depend on current data on species diversity and distribution. Relative to the ichthyofauna of West Virginia, few studies have recently documented the richness and distribution of fishes in the state, with even the most comprehensive publications rarely discussing either the conservation status of individual fishes or historical sportfish stockings. In this paper, we review the state's historic sportfish stockings. We also clarify inconsistent published data and present new information for several species, delete 3 species from the West Virginia ichthyofaunal list, and add 35 species representing extant or extirpated populations. Lastly, we provide a checklist of 195 species by major drainage of West Virginia's fishes, including their origin (i.e., native or introduced).</p></div></div></div>","language":"English","publisher":"BioOne","doi":"10.1656/045.031.m2401","usgsCitation":"Cincotta, D.A., and Welsh, S., 2024, An update of the ichthyofauna of West Virginia with notes on historic sportfish stockings: Northeastern Naturalist, v. 31, no. 24, p. 1-48, https://doi.org/10.1656/045.031.m2401.","productDescription":"48 p.","startPage":"1","endPage":"48","ipdsId":"IP-146390","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":432413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West 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,{"id":70267455,"text":"70267455 - 2024 - A fire-use decision model to improve the United States’ wildfire management and support climate change adaptation","interactions":[],"lastModifiedDate":"2025-05-23T15:14:08.580599","indexId":"70267455","displayToPublicDate":"2024-06-28T10:08:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21644,"text":"Cell Reports Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"A fire-use decision model to improve the United States’ wildfire management and support climate change adaptation","docAbstract":"<p><span>The US faces multiple challenges in facilitating the safe, effective, and proactive use of fire as a landscape management tool. This intentional fire use exposes deeply ingrained communication challenges and distinct but overlapping strategies of prescribed fire, cultural burning, and managed wildfire. We argue for a new conceptual model that is organized around ecological conditions, capacity to act, and motivation to use fire and can integrate and expand intentional fire use as a tool. This result emerges from more considered collaboration and communication of values and needs to address the negative consequences of contemporary fire use. When applied as a communication and translation tool, there is potential to lower barriers to faster and more successful collaboration among stakeholders. Such improvements are a vital part of strategies to address climate adaptation, wildfire mitigation, and the well-being of ecosystems.</span></p>","language":"English","publisher":"Cell Press","doi":"10.1016/j.crsus.2024.100125","usgsCitation":"Russell, A., Fontana, N., Hoecker, T., Kamanu, A., Majumder, R., Stephens, J., Young, A., Cravens, A.E., Giardina, C., Hiers, K., Littell, J., and Terando, A., 2024, A fire-use decision model to improve the United States’ wildfire management and support climate change adaptation: Cell Reports Sustainability, v. 1, no. 6, 100125, 14 p., https://doi.org/10.1016/j.crsus.2024.100125.","productDescription":"100125, 14 p.","ipdsId":"IP-165285","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crsus.2024.100125","text":"Publisher Index Page"},{"id":486511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Aaron Daniel 0000-0003-3980-827X","orcid":"https://orcid.org/0000-0003-3980-827X","contributorId":355854,"corporation":false,"usgs":true,"family":"Russell","given":"Aaron Daniel","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":938272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fontana, 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Reetam","contributorId":355858,"corporation":false,"usgs":false,"family":"Majumder","given":"Reetam","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":938276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephens, Jilmarie 0000-0002-0066-2974","orcid":"https://orcid.org/0000-0002-0066-2974","contributorId":304182,"corporation":false,"usgs":false,"family":"Stephens","given":"Jilmarie","email":"","affiliations":[{"id":65990,"text":"CU B","active":true,"usgs":false}],"preferred":false,"id":938277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Adam","contributorId":177578,"corporation":false,"usgs":false,"family":"Young","given":"Adam","affiliations":[],"preferred":false,"id":938321,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 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Station","active":true,"usgs":false}],"preferred":false,"id":938280,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":938281,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Terando, Adam 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":205908,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":938282,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70263882,"text":"70263882 - 2024 - Seismically detected cratering on Mars: Enhanced recent impact flux?","interactions":[],"lastModifiedDate":"2025-02-27T15:56:41.687204","indexId":"70263882","displayToPublicDate":"2024-06-28T08:52:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Seismically detected cratering on Mars: Enhanced recent impact flux?","docAbstract":"<p><span>Seismic observations of impacts on Mars indicate a higher impact flux than previously measured. Using six confirmed seismic impact detections near the NASA InSight lander and two distant large impacts, we calculate appropriate scalings to compare these rates with lunar-based chronology models. We also update the impact rate from orbital observations using the most recent catalog of new craters on Mars. The snapshot of the current impact rate at Mars recorded seismically is higher than that found using orbital detections alone. The measured rates differ between a factor of 2 and 10, depending on the diameter, although the sample size of seismically detected impacts is small. The close timing of the two largest new impacts found on Mars in the past few decades indicates either a heightened impact rate or a low-probability temporal coincidence, perhaps representing recent fragmentation of a parent body. We conclude that seismic methods of detecting current impacts offer a more complete dataset than orbital imaging.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adk7615","usgsCitation":"Daubar, I.J., Garcia, R., Stott, A.E., Fernando, B., Collins, G.S., Dundas, C., Wojcicka, N., Zenhausern, G., McEwen, A.S., Stahler, S., Golombek, M.P., Charalambous, C., Giardini, D., Lognonne, P., and Banerdt, W., 2024, Seismically detected cratering on Mars: Enhanced recent impact flux?: Science Advances, v. 10, no. 26, eadk7615, 9 p., https://doi.org/10.1126/sciadv.adk7615.","productDescription":"eadk7615, 9 p.","ipdsId":"IP-152454","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487204,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adk7615","text":"Publisher Index Page"},{"id":482566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"26","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Daubar, Ingrid J.","contributorId":204233,"corporation":false,"usgs":false,"family":"Daubar","given":"Ingrid","email":"","middleInitial":"J.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":928853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Raphael F.","contributorId":351538,"corporation":false,"usgs":false,"family":"Garcia","given":"Raphael F.","affiliations":[{"id":34610,"text":"Universite de Toulouse","active":true,"usgs":false}],"preferred":false,"id":928854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stott, Alexander E.","contributorId":236698,"corporation":false,"usgs":false,"family":"Stott","given":"Alexander","email":"","middleInitial":"E.","affiliations":[{"id":47531,"text":"Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":928855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernando, Benjamin","contributorId":351539,"corporation":false,"usgs":false,"family":"Fernando","given":"Benjamin","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":928856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, Gareth S.","contributorId":328863,"corporation":false,"usgs":false,"family":"Collins","given":"Gareth","email":"","middleInitial":"S.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":928857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":928858,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wojcicka, Natalia","contributorId":351540,"corporation":false,"usgs":false,"family":"Wojcicka","given":"Natalia","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":928859,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zenhausern, Geraldine","contributorId":351541,"corporation":false,"usgs":false,"family":"Zenhausern","given":"Geraldine","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":928860,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":928861,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stahler, Simon C.","contributorId":351542,"corporation":false,"usgs":false,"family":"Stahler","given":"Simon C.","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":928862,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Golombek, Matthew P.","contributorId":175450,"corporation":false,"usgs":false,"family":"Golombek","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":928863,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Charalambous, Constantinos","contributorId":351543,"corporation":false,"usgs":false,"family":"Charalambous","given":"Constantinos","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":928864,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Giardini, Domenico","contributorId":351544,"corporation":false,"usgs":false,"family":"Giardini","given":"Domenico","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":928865,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lognonne, Philippe","contributorId":351545,"corporation":false,"usgs":false,"family":"Lognonne","given":"Philippe","affiliations":[{"id":84006,"text":"Universite Paris 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Bruce","contributorId":351546,"corporation":false,"usgs":false,"family":"Banerdt","given":"W. Bruce","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":928867,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70255863,"text":"70255863 - 2024 - The National Ocean Biodiversity Strategy","interactions":[],"lastModifiedDate":"2025-01-24T20:43:15.098019","indexId":"70255863","displayToPublicDate":"2024-06-28T07:02:21","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The National Ocean Biodiversity Strategy","docAbstract":"<p>President Biden has been clear that the ocean is central to life on Earth. As he has proclaimed, “the ocean powers millions of jobs; feeds and sustains us; and is a rejuvenating source of inspiration, exploration, and recreation.” The Biden-Harris Administration has worked hard to fulfill the President’s goal to protect and conserve at least 30% of U.S. waters by 2030. The ocean faces increased threats from warming, overfishing, increased acidity, and loss of biodiversity. It is now more important than ever to sustain the many benefits that the ocean, coasts, and Great Lakes provide, including food, a favorable climate, recreation, physical and mental health, and for many, a sense of cultural identity. Ocean life represents an irreplaceable heritage, the foundation of a habitable planet, and a vast trove of resources. Keeping our ocean healthy requires reliable information on the changing status of these living organisms, the drivers of biodiversity change, and options for effectively addressing those drivers. Over 2 million species are estimated to live in the ocean, yet only about 240,000 species have been described by scientists. Most of the ocean’s benefits result from those diverse species interacting with one another and the environment they create. To protect and conserve the ocean, we as a nation need to make better use of existing knowledge and prioritize acquiring new biodiversity knowledge to enable better policy and management decisions. The ability to monitor ocean species and habitats has expanded dramatically over the past decade, with innovations in technology, genomics, taxonomy, big data management and sharing, artificial intelligence, and machine learning. Yet large fractions of the U.S. ocean remain almost unknown. The National Ocean Biodiversity Strategy (strategy) reflects the urgent need to leverage these advances. The goals of this strategy must be guided by the nation’s diverse voices and ways of knowing, in order to maximize effective and equitable stewardship of the ocean’s diverse life and its benefits to people. The strategy is intended as a guiding document for government to advance three overarching goals: </p><p>● Goal 1: Drive delivery of ocean biodiversity knowledge at the national scale. Objectives include developing an Implementation Plan for achieving the strategy’s three goals; establishing a coordination mechanism to manage the implementation; and documenting gaps in biodiversity knowledge and the benefits of ocean biodiversity to people and economies. </p><p>● Goal 2: Strengthen tools and institutions to deliver ocean biodiversity knowledge. Objectives include establishing a robust information pipeline to support indicators and dynamic maps of ocean biodiversity, from the coasts to the deep sea. This pipeline should include expanded observing systems and comprehensive data management; science and technology solutions to accelerate the availability of biodiversity information; and plans to leverage previous investments to rebuild and expand the nation’s human capital and infrastructure to sustain foundational taxonomy and biodiversity science. </p><p>● Goal 3: Protect, conserve, restore, and sustainably use ocean biodiversity. Objectives include expanding the collection, delivery, and use of biodiversity knowledge to inform actions that advance ocean protection, conservation, restoration, and sustainable development. Government should lead in establishing and incentivizing diverse partnerships across scales and sectors to implement those actions and should educate and involve the public to discover and value the nation’s diverse ocean life. Achieving these goals will require commitments across society: new federal and private investments, coordination across sectors to address climate and equity challenges, and engagement of Indigenous Knowledge holders and frontline communities as full partners throughout planning and implementation. The Subcommittee on Ocean Science and Technology (SOST) IWG-Biodiversity will begin developing an Implementation Plan to describe and direct specific actions to implement the strategy. Successful implementation of the strategy will harmonize and expand collection and delivery of timely knowledge on ocean life to all of society. The strategy will also enable evidence-based management and protection of the ocean. Advancing the strategy will build human and institutional capital and partnerships that support both existing mandates and new needs to rebuild and sustain biodiversity, achieve healthy ocean ecosystems, and manage living resources. Implementing the strategy will deliver knowledge for monitoring, modeling, forecasting, and assessments that support food security, public health, and cultural values, and that more effectively protect, conserve, and restore nature.</p>","language":"English","publisher":"White House Office of Science, Technology, and Policy (OSTP)","collaboration":"National Oceanic and Atmospheric Administration, Smithsonian, Bureau of Ocean Energy Management, University Corporation for Atmospheric Research, Environmental Protection Agency, Office of Naval Research, National Science Foundation, National Aeronautics and Space Administration","usgsCitation":"Canonico, G., Duffy, J., Edmonson, M., Fillingham, K., Benson, A., Bisson, K., Demopoulos, A., Hinchey, B., Matsumoto, K., Meyer, C., Price, J., Shen, E., Turner, W., Weise, M., Vander Woude, A., and Wenzel, L., 2024, The National Ocean Biodiversity Strategy, vi, 18 p.","productDescription":"vi, 18 p.","ipdsId":"IP-166759","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":430840,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430823,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://bidenwhitehouse.archives.gov/wp-content/uploads/2024/06/NSTC_National-Ocean-Biodiversity-Strategy.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Canonico, Gabrielle","contributorId":217563,"corporation":false,"usgs":false,"family":"Canonico","given":"Gabrielle","email":"","affiliations":[{"id":39659,"text":"National Oceanographic and Atmospheric Administration, US Integrated Ocean Observing System, Silver Spring, MD, USA","active":true,"usgs":false}],"preferred":false,"id":905819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, J. Emmett","contributorId":270555,"corporation":false,"usgs":false,"family":"Duffy","given":"J. Emmett","affiliations":[],"preferred":false,"id":905820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmonson, Masha","contributorId":339977,"corporation":false,"usgs":false,"family":"Edmonson","given":"Masha","email":"","affiliations":[{"id":36726,"text":"University Corporation for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":905821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fillingham, Katie","contributorId":339534,"corporation":false,"usgs":false,"family":"Fillingham","given":"Katie","email":"","affiliations":[{"id":36726,"text":"University Corporation for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":905822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":202078,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":905823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bisson, Kelsey","contributorId":339979,"corporation":false,"usgs":false,"family":"Bisson","given":"Kelsey","email":"","affiliations":[{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":905824,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":210316,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":905825,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hinchey, Beth","contributorId":339981,"corporation":false,"usgs":false,"family":"Hinchey","given":"Beth","email":"","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":905826,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Matsumoto, Katsumi","contributorId":224012,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Katsumi","email":"","affiliations":[],"preferred":false,"id":905827,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meyer, Chris","contributorId":339540,"corporation":false,"usgs":false,"family":"Meyer","given":"Chris","email":"","affiliations":[],"preferred":false,"id":905828,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Price, James","contributorId":156327,"corporation":false,"usgs":false,"family":"Price","given":"James","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":905829,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shen, Elaine","contributorId":339535,"corporation":false,"usgs":false,"family":"Shen","given":"Elaine","email":"","affiliations":[{"id":12642,"text":"National Science Foundation","active":true,"usgs":false}],"preferred":false,"id":905830,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Turner, Woody","contributorId":149221,"corporation":false,"usgs":false,"family":"Turner","given":"Woody","email":"","affiliations":[{"id":17679,"text":"Earth Science Division, NASA Headquarters, Washington D.C.","active":true,"usgs":false}],"preferred":false,"id":905831,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Weise, Mike","contributorId":339528,"corporation":false,"usgs":false,"family":"Weise","given":"Mike","email":"","affiliations":[{"id":63888,"text":"Office of Naval Research","active":true,"usgs":false}],"preferred":false,"id":905832,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vander Woude, Andrea","contributorId":339983,"corporation":false,"usgs":false,"family":"Vander Woude","given":"Andrea","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":905833,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wenzel, Lauren","contributorId":339985,"corporation":false,"usgs":false,"family":"Wenzel","given":"Lauren","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":905834,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70255993,"text":"70255993 - 2024 - Coyote use of prairie dog colonies is most frequent in areas used by American badgers","interactions":[],"lastModifiedDate":"2024-07-12T11:54:50.180369","indexId":"70255993","displayToPublicDate":"2024-06-28T06:52:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Coyote use of prairie dog colonies is most frequent in areas used by American badgers","docAbstract":"<p class=\"chapter-para\">The consequences of intraguild predation on vulnerable subordinate species are an important consideration in the recovery of endangered species. In prairie ecosystems, coyotes (<i>Canis latrans</i>) are the primary predator of endangered black-footed ferrets (<i>Mustela nigripes</i>; hereafter, ferrets) and presumably compete for prairie dog (<i>Cynomys</i><span>&nbsp;</span>spp.) prey. Coyote predation of ferrets is thought to occur at night when ferrets are active aboveground; however, the apparent source of competition, diurnal prairie dogs, are belowground and inaccessible to coyotes at this time, presenting a perplexing temporal mismatch between actual and expected times that coyotes and ferrets come into conflict. Our study used remote wildlife cameras, occupancy models, and overlap of circadian activity patterns to investigate how landscape features, prairie dog colony attributes, and attraction to sympatric species, i.e., American badgers (<i>Taxidea taxus</i>; hereafter, badgers) and lagomorphs (cottontail rabbits and jackrabbits) influence Coyote use of prairie dog colonies and potential Coyote–ferret interactions. We first evaluated Coyote use (i.e., occupancy) between prairie dog colonies and surrounding available grasslands, finding that coyotes whose home ranges include prairie dog colonies used colonies nearly twice as much as surrounding grasslands. Next, we investigated biotic and abiotic factors that may influence Coyote use and frequency of use (i.e., detection probability) on prairie dog colonies. We found high Coyote use across all areas on prairie dog colonies; however, their frequency of use increased in areas that were also used by badgers. High overlap between Coyote and badger activity patterns (81%) further supports the spatial use patterns revealed by our occupancy analysis, and badgers and coyotes are known to form hunting associations. Interspecific competition and overlapping patterns of resource use between badgers and ferrets have been documented in previous studies; our study supports these findings and suggests that Coyote attraction to badger activity may influence Coyote–ferret interactions.</p>","language":"English","publisher":"American Society of Mammalogists","doi":"10.1093/jmammal/gyae066","usgsCitation":"Windell, R., Bailey, L., Livieri, T., Eads, D.A., Biggins, D.E., and Breck, S., 2024, Coyote use of prairie dog colonies is most frequent in areas used by American badgers: Journal of Mammalogy, gyae066, 13 p., https://doi.org/10.1093/jmammal/gyae066.","productDescription":"gyae066, 13 p.","ipdsId":"IP-143126","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyae066","text":"Publisher Index Page"},{"id":430999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Badlands National Park and Buffalo Gap National Grasslands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103.32502836704836,\n              44.214125770187906\n            ],\n            [\n              -103.32502836704836,\n              43.29882491564226\n            ],\n            [\n              -101.26878611620063,\n              43.29882491564226\n            ],\n            [\n              -101.26878611620063,\n              44.214125770187906\n            ],\n            [\n              -103.32502836704836,\n              44.214125770187906\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Windell, Rebecca","contributorId":279885,"corporation":false,"usgs":false,"family":"Windell","given":"Rebecca","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":906282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":906283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Livieri, Travis","contributorId":279912,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","affiliations":[{"id":6753,"text":"Prairie Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":906284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":906285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":906286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breck, Stewart","contributorId":199403,"corporation":false,"usgs":false,"family":"Breck","given":"Stewart","affiliations":[],"preferred":false,"id":906287,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257140,"text":"70257140 - 2024 - Evaluating post-wildfire debris-flow rainfall thresholds and volume models at the 2020 Grizzly Creek Fire in Glenwood Canyon, Colorado, USA","interactions":[],"lastModifiedDate":"2024-08-12T11:42:08.195199","indexId":"70257140","displayToPublicDate":"2024-06-28T06:30:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13453,"text":"NHESS","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating post-wildfire debris-flow rainfall thresholds and volume models at the 2020 Grizzly Creek Fire in Glenwood Canyon, Colorado, USA","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e310\">As wildfire increases in the western United States, so do postfire debris-flow hazards. The U.S. Geological Survey (USGS) has developed two separate models to estimate (1)&nbsp;rainfall intensity thresholds for postfire debris-flow initiation and (2)&nbsp;debris-flow volumes. However, the information necessary to test the accuracy of these models is seldom available. Here, we studied how well these models performed over a 2-year period in the 2020 Grizzly Creek Fire burn perimeter in Glenwood Canyon, Colorado, USA, through the development of a debris-flow response inventory. The study area had the advantage of a network of 11 rain gauges for rainfall intensity measurements and repeat lidar data for volume estimates. Our observations showed that 89 % of observed debris flows in the first year postfire were triggered by rainfall rates higher than the fire-wide rainfall threshold produced by the current USGS operational model (M1). No debris flows were observed in the second year postfire, despite eight rainstorms with intensities higher than the modeled rainfall threshold. We found that the operational model for debris-flow initiation rainfall thresholds works well in this region during the first year but may be too conservative in year&nbsp;2 due to vegetation recovery and sediment depletion. However, rainfall thresholds in the second year can be improved by using updated remote sensing imagery to recalculate the debris-flow initiation likelihood with the M1 model. The current volume model overestimates for this region by a median value of 4.4 times. However, the offset between the model estimates and observations is approximately linear, and the volumes from the Grizzly Creek debris flows had a similar magnitude to historic postfire debris flows in the region. Consequently, the current volume model could be adjusted with a regional correction factor.</p></div></div><div id=\"citation-footer\" class=\"sec\"><br></div>","language":"English","publisher":"European Geophysical Union","doi":"10.5194/nhess-24-2093-2024","usgsCitation":"Rengers, F.K., Bower, S., Knapp, A., Kean, J.W., vonLembke, D.W., Thomas, M.A., Kostelnik, J., Barnhart, K.R., Bethel, M., Gartner, J.E., Hille, M., Staley, D.M., Anderson, J.K., Roberts, E.K., DeLong, S.B., Lane, B., Ridgeway, P., and Murphy, B., 2024, Evaluating post-wildfire debris-flow rainfall thresholds and volume models at the 2020 Grizzly Creek Fire in Glenwood Canyon, Colorado, USA: NHESS, v. 24, no. 6, p. 2093-2114, https://doi.org/10.5194/nhess-24-2093-2024.","productDescription":"22 p.","startPage":"2093","endPage":"2114","ipdsId":"IP-153855","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":439328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-24-2093-2024","text":"Publisher Index Page"},{"id":432480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Glenwood Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.35373687363474,\n              39.70280123140964\n            ],\n            [\n              -107.35373687363474,\n              39.51857272600432\n            ],\n            [\n              -107.11050387434496,\n              39.51857272600432\n            ],\n            [\n              -107.11050387434496,\n              39.70280123140964\n            ],\n            [\n              -107.35373687363474,\n              39.70280123140964\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":909544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bower, Samuel 0000-0001-7998-7060","orcid":"https://orcid.org/0000-0001-7998-7060","contributorId":340091,"corporation":false,"usgs":false,"family":"Bower","given":"Samuel","email":"","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":909545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knapp, Andrew","contributorId":340092,"corporation":false,"usgs":false,"family":"Knapp","given":"Andrew","email":"","affiliations":[{"id":81459,"text":"Pitkin County Engineering","active":true,"usgs":false}],"preferred":false,"id":909546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":909547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"vonLembke, Danielle W. 0000-0003-4873-8111","orcid":"https://orcid.org/0000-0003-4873-8111","contributorId":342070,"corporation":false,"usgs":false,"family":"vonLembke","given":"Danielle","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":909596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Matthew A. 0000-0002-9828-5539 matthewthomas@usgs.gov","orcid":"https://orcid.org/0000-0002-9828-5539","contributorId":200616,"corporation":false,"usgs":true,"family":"Thomas","given":"Matthew","email":"matthewthomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":909548,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kostelnik, Jaime 0000-0002-1817-5461","orcid":"https://orcid.org/0000-0002-1817-5461","contributorId":300717,"corporation":false,"usgs":true,"family":"Kostelnik","given":"Jaime","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":909549,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":909551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bethel, Matthew 0000-0001-7206-4677","orcid":"https://orcid.org/0000-0001-7206-4677","contributorId":329844,"corporation":false,"usgs":false,"family":"Bethel","given":"Matthew","email":"","affiliations":[{"id":78730,"text":"Merrick","active":true,"usgs":false}],"preferred":false,"id":909552,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":909597,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hille, Madeline","contributorId":221221,"corporation":false,"usgs":false,"family":"Hille","given":"Madeline","affiliations":[],"preferred":false,"id":909598,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":909599,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Anderson, Justin K. 0000-0001-7110-0293","orcid":"https://orcid.org/0000-0001-7110-0293","contributorId":342048,"corporation":false,"usgs":false,"family":"Anderson","given":"Justin","email":"","middleInitial":"K.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":909553,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Roberts, Elizabeth K. 0000-0002-1701-5378","orcid":"https://orcid.org/0000-0002-1701-5378","contributorId":342049,"corporation":false,"usgs":false,"family":"Roberts","given":"Elizabeth","email":"","middleInitial":"K.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":909554,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":909555,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lane, Belize","contributorId":297493,"corporation":false,"usgs":false,"family":"Lane","given":"Belize","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":909556,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ridgeway, Paxton 0000-0002-7500-7544","orcid":"https://orcid.org/0000-0002-7500-7544","contributorId":342050,"corporation":false,"usgs":false,"family":"Ridgeway","given":"Paxton","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":909557,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Murphy, Brendan","contributorId":139480,"corporation":false,"usgs":false,"family":"Murphy","given":"Brendan","affiliations":[],"preferred":false,"id":909558,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70256555,"text":"70256555 - 2024 - Pasture and diurnal temperature are key predictors of regional Plains Spotted Skunk (Spilogale interrupta) distribution","interactions":[],"lastModifiedDate":"2024-10-08T16:28:41.215656","indexId":"70256555","displayToPublicDate":"2024-06-27T11:22:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Pasture and diurnal temperature are key predictors of regional Plains Spotted Skunk (Spilogale interrupta) distribution","title":"Pasture and diurnal temperature are key predictors of regional Plains Spotted Skunk (Spilogale interrupta) distribution","docAbstract":"<p><span>The Plains Spotted Skunk (</span><i>Spilogale interrupta</i><span>) is a small carnivore native to central North America that has experienced significant population reductions, and there is a lack of information about the species that could inform conservation. Our study aimed to address knowledge gaps about the distribution and habitat associations of the species in South Dakota using species distribution modeling. We used species location data collected from state natural resource managers, trappers, and members of online social media groups dedicated to hunting and wildlife conservation; environmental predictors; and 6 predictive modeling algorithms (i.e., artificial neural networks, artificial classification tree analysis, generalized boosting models, maximum entropy, multivariate adaptive regression splines, and random forests) to develop climate and landcover ensemble distribution models. The most important climate and landcover predictors were mean temperature diurnal range (i.e., average monthly differences between daily high and low temperatures) and proportion of area classified as pasture. Ensemble model concordance identified approximately 31,300 km</span><sup>2</sup><span>&nbsp;of potential Plains Spotted Skunk habitat primarily in eastern South Dakota and between the watersheds of the Missouri and James rivers. Our results offer insights that can guide conservation and inform effective management strategies for conserving Plains Spotted Skunk populations in the northern Great Plains. The promotion of low-intensity agricultural practices such as maintaining pastures, farm buildings, fences rows, and the management of woodland encroachment may improve habitat suitability and facilitate the recovery of plains spotted skunks in the region.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyae063","usgsCitation":"White, K.M., Cheeseman, A.E., Stafford, J.D., and Lonsinger, R.C., 2024, Pasture and diurnal temperature are key predictors of regional Plains Spotted Skunk (Spilogale interrupta) distribution: Journal of Mammalogy, https://doi.org/10.1093/jmammal/gyae063.","ipdsId":"IP-154327","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":462702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South 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jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907965,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257547,"text":"70257547 - 2024 - Climate, food and humans predict communities of mammals in the United States","interactions":[],"lastModifiedDate":"2024-09-10T15:02:17.761832","indexId":"70257547","displayToPublicDate":"2024-06-27T10:18:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Climate, food and humans predict communities of mammals in the United States","docAbstract":"<h3 id=\"ddi13900-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>The assembly of species into communities and ecoregions is the result of interacting factors that affect plant and animal distribution and abundance at biogeographic scales. Here, we empirically derive ecoregions for mammals to test whether human disturbance has become more important than climate and habitat resources in structuring communities.</p><h3 id=\"ddi13900-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Conterminous United States.</p><h3 id=\"ddi13900-sec-0003-title\" class=\"article-section__sub-title section1\">Time Period</h3><p>2010–2021.</p><h3 id=\"ddi13900-sec-0004-title\" class=\"article-section__sub-title section1\">Major Taxa Studied</h3><p>Twenty-five species of mammals.</p><h3 id=\"ddi13900-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We analysed data from 25 mammal species recorded by camera traps at 6645 locations across the conterminous United States in a joint modelling framework to estimate relative abundance of each species. We then used a clustering analysis to describe 8 broad and 16 narrow mammal communities.</p><h3 id=\"ddi13900-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>Climate was the most important predictor of mammal abundance overall, while human population density and agriculture were less important, with mixed effects across species. Seed production by forests also predicted mammal abundance, especially hard-mast tree species. The mammal community maps are similar to those of plants, with an east–west split driven by different dominant species of deer and squirrels. Communities vary along gradients of temperature in the east and precipitation in the west. Most fine-scale mammal community boundaries aligned with established plant ecoregions and were distinguished by the presence of regional specialists or shifts in relative abundance of widespread species. Maps of potential ecosystem services provided by these communities suggest high herbivory in the Rocky Mountains and eastern forests, high invertebrate predation in the subtropical south and greater predation pressure on large vertebrates in the west.</p><h3 id=\"ddi13900-sec-0007-title\" class=\"article-section__sub-title section1\">Main Conclusions</h3><p>Our results highlight the importance of climate to modern mammals and suggest that climate change will have strong impacts on these communities. Our new empirical approach to recognizing ecoregions has potential to be applied to expanded communities of mammals or other taxa.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13900","usgsCitation":"Kays, R., Snider, M.H., Hess, G., Cove, M.V., Jensen, A., Shamon, H., McShea, W.J., Rooney, B., Allen, M.L., Pekins, C.E., Wilmers, C., Pendergast, M.E., Green, A.M., Suraci, J., Leslie, M.S., Nasrallah, S., Farkas, D., Jordan, M., Grigione, M., LaScaleia, M., Davis, M.L., Hansen, C., Millspaugh, J., Lewis, J.S., Havrda, M., Long, R., Remine, K.R., Jaspers, K.J., Lafferty, D.J., Hubbard, T., Studds, C.E., Barthelmess, E.L., Andy, K., Romero, A., O’Neill, B.J., Hawkins, M.T., Lombardi, J.V., Sergeyev, M., Fisher-Reid, M.C., Rentz, M.S., Nagy, C., Davenport, J.D., Rega-Brodsky, C.C., Appel, C.L., Lesmeister, D.B., Giery, S.T., Whittier, C.A., Alston, J., Sutherland, C., Rota, C., Murphy, T., Lee, T.E., Mortelliti, A., Bergman, D.L., Compton, J.A., Gerber, B.D., Burr, J., Rezendes, K., DeGregorio, B.A., Wehr, N.H., Benson, J.F., O’Mara, M.T., Jachowski, D., Gray, M., Beyer, D.E., Belant, J., Horan, R.V., Lonsinger, R.C., Kuhn, K.M., Hasstedt, S.C., Zimova, M., Moore, S.M., Herrera, D.J., Fritts, S., Edelman, A.J., Flaherty, E.A., Petroelje, T.R., Neiswenter, S.A., Risch, D.R., Iannarilli, F., van der Merwe, M., Maher, S.P., Farris, Z.J., Webb, S.L., Mason, D.S., Lashley, M.A., Wilson, A.M., Vanek, J.P., Wehr, S.R., Conner, L.M., Beasley, J.C., Bontrager, H.L., Baruzzi, C., Ellis-Felege, S.N., Proctor, M.D., Schipper, J., Weiss, K., Darracq, A.K., Barr, E.G., Alexander, P.D., Sekercioglu, C.H., Bogan, D.A., Schalk, C.M., Fantle-Lepczyk, J.E., Lepczyk, C.A., LaPoint, S., Whipple, L.S., Rowe, H.I., Mullen, K., Bird, T., Zorn, A., Brandt, L., Lathrop, R., McCain, C., Crupi, A.P., Clark, J., and Parsons, A., 2024, Climate, food and humans predict communities of mammals in the United States: Diversity and Distributions, v. 30, e13900, 16 p., https://doi.org/10.1111/ddi.13900.","productDescription":"e13900, 16 p.","ipdsId":"IP-154598","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13900","text":"Publisher Index Page"},{"id":433663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n  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,{"id":70255665,"text":"ofr20241034 - 2024 - Total phosphorus and suspended-sediment concentrations and loads from two main tributaries to Upper Klamath Lake, Oregon, 2014–20","interactions":[],"lastModifiedDate":"2026-01-29T19:46:30.854293","indexId":"ofr20241034","displayToPublicDate":"2024-06-27T09:16:43","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1034","displayTitle":"Total Phosphorus and Suspended-Sediment Concentrations and Loads from Two Main Tributaries to Upper Klamath Lake, Oregon, 2014–20","title":"Total phosphorus and suspended-sediment concentrations and loads from two main tributaries to Upper Klamath Lake, Oregon, 2014–20","docAbstract":"<p>Total phosphorus (TP) and suspended-sediment concentrations (SSC) and loads were computed at two U.S. Geological Survey (USGS) streamgages in the upper Klamath River Basin on the Sprague (USGS site ID 11501000) and Williamson (USGS site ID 11502500) Rivers using high temporal resolution turbidity and streamflow data to develop surrogate regression models. Regression models were updated and validated for TP at the Williamson River site, and additional data improved a prior published TP model, increasing the coefficient of determination (R<sup>2</sup>) from 0.73 to 0.88. A new TP regression model was developed for the Sprague River site using 2 years of data and showed promising results with an R<sup>2</sup> of 0.93. Suspended-sediment concentration (SSC) surrogate models were also updated at these sites using a longer period of record than the TP models and improved characterization of sediment transport conditions at these monitoring sites.</p><p>Computations of TP loads were compared to the annual loading capacity dictated by the total maximum daily load (TMDL) for Upper Klamath Lake and showed that the combined TP load of the Williamson and Sprague Rivers approaches the annual loading capacity in water years with high annual streamflow. TP loads were also compared to loads computed by the Klamath Tribes using a long-term dataset and a regression and interpolation algorithm (RIA). The comparison showed that the two methods report similar annual loads, with the surrogate regression method generally reporting lower loads than the RIA, and the RIA annual loads falling within the range of uncertainty of the surrogate regression model results. Determining the effect of habitat and stream restoration on basin-scale TP and suspended-sediment loading is challenging using the surrogate regression method at these sites given the short period of record that TP and suspended-sediment load (SSL) data are available. However, long-term analysis by the Klamath Tribes in their larger monitoring network could provide insight into the impact of restoration at smaller spatial scales compared to the basin-wide assessment produced in this study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241034","collaboration":"Prepared in cooperation with the Klamath Tribes and the Oregon Watershed Enhancement Board","usgsCitation":"Schenk, L.N., and Simeone, C., 2024, Total phosphorus and suspended-sediment concentrations and loads from two main tributaries to Upper Klamath Lake, Oregon, 2014–20: U.S. Geological Survey Open-File Report 2024–1034, 18 p., https://doi.org/10.3133/ofr20241034.","productDescription":"viii, 18 p.","onlineOnly":"Y","ipdsId":"IP-155613","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":430574,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1034/ofr20241034.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1034"},{"id":430573,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1034/ofr20241034.jpg"},{"id":430577,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1034/ofr20241034.XML"},{"id":430576,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1034/images"},{"id":430575,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241034/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1034"},{"id":499255,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117101.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.39459049262162,\n              42.010424780518264\n            ],\n            [\n              -119.81143415588565,\n              42.010424780518264\n            ],\n            [\n              -119.81143415588565,\n              43.21983555337732\n            ],\n            [\n              -122.39459049262162,\n              43.21983555337732\n            ],\n            [\n              -122.39459049262162,\n              42.010424780518264\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oregon-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/oregon-water-science-center\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>601 SW Second Avenue, Suite 1950<br>Portland, Oregon 97204</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Collection and Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li></ul>","publishedDate":"2024-06-27","noUsgsAuthors":false,"publicationDate":"2024-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simeone, Caelan 0000-0003-3263-6452","orcid":"https://orcid.org/0000-0003-3263-6452","contributorId":221008,"corporation":false,"usgs":true,"family":"Simeone","given":"Caelan","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905083,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262902,"text":"70262902 - 2024 - An integrated perspective of paleoenvironmental change in the Western Interior Seaway before and during OAE-2 reveals how organic-rich mudstones form in dynamic environments","interactions":[],"lastModifiedDate":"2025-01-28T15:03:20.562262","indexId":"70262902","displayToPublicDate":"2024-06-27T08:58:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"An integrated perspective of paleoenvironmental change in the Western Interior Seaway before and during OAE-2 reveals how organic-rich mudstones form in dynamic environments","docAbstract":"<div id=\"spara012\" class=\"u-margin-s-bottom\">Organic and inorganic geochemistry was integrated with sedimentology from the Eagle Ford Group in the U.S. Geological Survey Gulf Coast-3 drill core to investigate why organic matter enrichment and anoxia predate the Cenomanian–Turonian oceanic anoxic event (OAE-2) at the southern Western Interior Seaway (WIS). The relationship between the degree of organic matter sulfurization and preservation in the southern WIS is comparable to OAE-2 sites outside of the WIS, but enhanced organic matter sulfurization and preservation predated OAE-2, distinguishing the southern WIS from other OAE-2 localities. Persistent euxinia and organic matter sulfurization before and during the mid-Cenomanian event (MCE) facilitated maximum organic matter enrichment and preservation to coincide with extensive lateral sediment transport. The new perspective detailed here reconciles geochemical evidence of depositional euxinia with sedimentological evidence of sediment transport, which informs how organic-rich mudstones form in dynamic environments. After the MCE but before OAE-2, reducing conditions weakened as relative sea-level continued to rise, resulting in an oxygen-depleted environment that was prone to transient euxinia. The extent of organic matter sulfurization, preservation, and enrichment declined as euxinia became intermittent. As maximum sea-level was established during OAE-2, boreal water masses flowed into the southern WIS and unrestricted, oxygenated marine conditions developed, which resulted in degradation of marine organic matter and less organic enrichment.</div><div id=\"spara013\" class=\"u-margin-s-bottom\">The highest relative contribution of marine bacterial organic matter occurred during the persistently euxinic interval before and during the MCE. The relative input of algal organic matter increased as the depositional conditions became less reducing after the MCE but before OAE-2. Prasinophyte green algae contributed to the consistent dominance of C<sub>28</sub><span>&nbsp;</span>steranes preceding OAE-2, which is becoming a widely observed feature across the southern and central WIS. A sharp drop in the C<sub>28</sub><span>&nbsp;</span>sterane relative abundance reflects a decline in the abundance of prasinophytes as oxic depositional conditions developed during OAE-2. Relative abundances of 2-methylhopanes increased during OAE-2, which is a common signature of OAEs, suggesting a modified nitrogen cycle in the offshore southern WIS despite oxic depositional conditions during OAE-2.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118850","usgsCitation":"French, K.L., Flaum, J.A., and Birdwell, J.E., 2024, An integrated perspective of paleoenvironmental change in the Western Interior Seaway before and during OAE-2 reveals how organic-rich mudstones form in dynamic environments: Earth and Planetary Science Letters, v. 642, 118850, 13 p., https://doi.org/10.1016/j.epsl.2024.118850.","productDescription":"118850, 13 p.","ipdsId":"IP-150254","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":489891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.118850","text":"Publisher Index Page"},{"id":481406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arkansas, Louisiana, Oklahoma, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.48861088630609,\n              34.91522244172788\n            ],\n            [\n              -102.65318338666059,\n              25.80856319881252\n            ],\n            [\n              -87.36067137979397,\n              26.861326503989844\n            ],\n            [\n              -90.28636907153204,\n              36.30648659504253\n            ],\n            [\n              -105.48861088630609,\n              34.91522244172788\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"642","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":925232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flaum, Jason A. 0000-0003-1251-1142","orcid":"https://orcid.org/0000-0003-1251-1142","contributorId":300809,"corporation":false,"usgs":true,"family":"Flaum","given":"Jason","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":925233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":925234,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70255930,"text":"70255930 - 2024 - Geographic principles applied to population dynamics: A spatially interpolated integrated population model","interactions":[],"lastModifiedDate":"2024-08-13T14:39:20.399987","indexId":"70255930","displayToPublicDate":"2024-06-27T07:24:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Geographic principles applied to population dynamics: A spatially interpolated integrated population model","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>A major impediment to wildlife conservation and management, from a quantitative perspective, is dealing with high degrees of uncertainty associated with population estimates. Integrated population models (IPMs) can help alleviate that challenge, but they are often limited to narrow spatial or temporal windows owing to the financial and logistical burdens of acquiring requisite datasets. To expand the spatiotemporal scope of practical IPM implementation, we developed a novel method that expresses demographic relatedness among sampled and unsampled locations using geographic principles of spatial autocorrelation.</li><li>We interpolated demographic parameters at unsampled locations using parameter estimates from data-informed locations. Errors attributable to the interpolative process were corrected using a joint likelihood and locally recorded count data (‘cheaper’ and broadly distributed). We evaluated the spatially interpolated IPM (SIIPM) for precision and accuracy under variable levels of spatial autocorrelation using simulated data and a Leave-One-Out Cross-Validation (LOOCV) technique. Conventional IPMs and state-space models (SSM) were fit to the same simulated datasets to provide a comparative assessment of the novel method. In a final, empirical demonstration we fit the SIIPM to data collected from Greater Sage-Grouse (<i>Centrocercus urophasianus</i>; sage-grouse) populations located in Nevada, U.S.A. during 2013–2021.</li><li>SIIPMs outperformed conventional IPMs when fit to data possessing moderate-to-high levels of spatial autocorrelation. Under moderate levels of autocorrelation, the average improvement in parameter estimation was 13.6% for survival, 65.3% for recruitment and 23.7% for rate of population change (\uD835\uDF06). When spatial autocorrelation was low, the SIIPM still outperformed contemporary approaches in areas that were geographically close (&lt;67 km) to sampling locations. Under low autocorrelation-near distance scenarios, we observed SIIPM parameters that were 30.8% (recruitment), 32.5% (\uD835\uDF06; IPM comparison) and 54.0% (\uD835\uDF06; SSM comparison) more precise than contemporary models.</li><li>Spatial autocorrelation is often assumed but rarely tested when comparing population dynamics across regions of large geographic extent. We demonstrated that SIIPMs can improve precision of species' vital rate estimation when extrapolating model inference beyond populations for which long-term monitoring data exists. Specific to sage-grouse, these results support previous conclusions of broad-scale spatial autocorrelation in population dynamics and a reproductive-survival trade-off previously documented at smaller scales.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14334","usgsCitation":"Prochazka, B.G., Coates, P.S., O’Neil, S.T., Espinosa, S.P., and Aldridge, C.L., 2024, Geographic principles applied to population dynamics: A spatially interpolated integrated population model: Methods in Ecology and Evolution, v. 15, no. 8, p. 1394-1407, https://doi.org/10.1111/2041-210X.14334.","productDescription":"14 p.; 2 Data Releases","startPage":"1394","endPage":"1407","ipdsId":"IP-146509","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439332,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14334","text":"Publisher Index Page"},{"id":434935,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P139R33O","text":"USGS data release","linkHelpText":"Spatially Explicit Estimates of Greater Sage-Grouse (Centrocercus urophasianus) Survival, Recruitment, and Rate of Population Change in Nevada, 2013-2021"},{"id":434934,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13W3VKC","text":"USGS data release","linkHelpText":"Code for a spatially interpolated integrated population model applied to simulations of spatially autocorrelated Greater Sage-Grouse (Centrocercus urophasianus) population data"},{"id":430889,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":906054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":906055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":906056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Espinosa, Shawn P.","contributorId":195583,"corporation":false,"usgs":false,"family":"Espinosa","given":"Shawn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":906057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":906058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257163,"text":"70257163 - 2024 - Factors influencing larval coregonine spatial distribution in Lake Geneva (Europe) and Lake Superior (North America) during a single season near known spawning sites","interactions":[],"lastModifiedDate":"2025-02-07T15:05:11.38014","indexId":"70257163","displayToPublicDate":"2024-06-27T07:18:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17451,"text":"International Journal of Limnology","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing larval coregonine spatial distribution in Lake Geneva (Europe) and Lake Superior (North America) during a single season near known spawning sites","docAbstract":"<p>Survival rate of the larval stage is an important driver of fish recruitment. To understand mechanisms regulating larval survival it is important to understand the relative importance of abiotic and biotic factors that shape larval spatial distributions. We studied larval<span>&nbsp;</span><i>Coregonus</i><span>&nbsp;</span>distributions in surface waters (surface to 1 m) by repeatedly sampling study sites in two lakes that varied greatly in trophic state and regional climate. We evaluated the importance of bathymetric depth, Julian Day, edible zooplankton densities (EZ, ind. L<sup>−1</sup>) and wind vectors on larval spatial distributions using generalized additive modeling. In both systems, larval counts declined in a negative exponential fashion with bathymetric depth, indicating shallow depths are critical nursery habitat. The north-south wind vectors and Julian Day (which was positively correlated with surface temperature) influenced larval distributions in Lake Geneva with larval counts related to both variables linearly, whereas the east-west wind vector and EZ were unimportant. Highest larval counts were during an offshore south wind and declined slightly with Julian Day. In Lake Superior, bathymetric depth and the east-west wind vector influenced larval distributions and were unrelated to EZ, Julian Day, and the north-south wind vector. Larval counts were highest when onshore southwest winds preceded sampling. Differences in how wind affected larval distribution (offshore<span>&nbsp;</span><i>vs.</i><span>&nbsp;</span>onshore) might be related to larval size with Lake Superior larvae considerably smaller (average length 12.9 mm<span>&nbsp;</span><i>vs.</i><span>&nbsp;</span>15.9 mm); thus, more apt to be subjected to advection. Within coastal waters, Julian Day and wind vectors influence distributions, but their importance seemingly varies lake-to-lake.</p>","language":"English","publisher":"EcoSciences","doi":"10.1051/limn/2024013","usgsCitation":"Dobosenski, J.A., Yule, D.L., Guillard, J., Anneville, O., Isaac, E., Stockwell, J.D., Myers, J., Ackiss, A.S., Chapina, R.J., and Moore, S., 2024, Factors influencing larval coregonine spatial distribution in Lake Geneva (Europe) and Lake Superior (North America) during a single season near known spawning sites: International Journal of Limnology, v. 60, no. 12, 12, 21 p., https://doi.org/10.1051/limn/2024013.","productDescription":"12, 21 p.","ipdsId":"IP-159935","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":432483,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439333,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1051/limn/2024013","text":"Publisher Index Page"}],"country":"France, United States","state":"Minnesota","otherGeospatial":"Lake Geneva, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.78267355691995,\n              47.99897216779462\n            ],\n            [\n              -89.78267355691995,\n              47.90122910288531\n            ],\n            [\n              -89.55798468980855,\n              47.90122910288531\n            ],\n            [\n              -89.55798468980855,\n              47.99897216779462\n            ],\n            [\n              -89.78267355691995,\n              47.99897216779462\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              6.238951771684498,\n              46.427296321727056\n            ],\n            [\n              6.238951771684498,\n              46.291519022939156\n            ],\n            [\n              6.534382971374612,\n              46.291519022939156\n            ],\n            [\n              6.534382971374612,\n              46.427296321727056\n            ],\n            [\n              6.238951771684498,\n              46.427296321727056\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Dobosenski, Jamie A.","contributorId":239602,"corporation":false,"usgs":false,"family":"Dobosenski","given":"Jamie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":909586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guillard, Jean","contributorId":342064,"corporation":false,"usgs":false,"family":"Guillard","given":"Jean","affiliations":[{"id":81834,"text":"Univ. Savoie Mont Blanc, INRAE, CARRTEL","active":true,"usgs":false}],"preferred":false,"id":909588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anneville, Orlane","contributorId":147752,"corporation":false,"usgs":false,"family":"Anneville","given":"Orlane","affiliations":[{"id":16922,"text":"INRA UMR CARRTEL, Thonon-les-Bains, France","active":true,"usgs":false}],"preferred":false,"id":909589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Isaac, Edmund J.","contributorId":342065,"corporation":false,"usgs":false,"family":"Isaac","given":"Edmund J.","affiliations":[{"id":81835,"text":"Grand Portage Band of Lake Superior Chippewa","active":true,"usgs":false}],"preferred":false,"id":909590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":909591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Myers, Jared T. 0009-0004-9362-8792","orcid":"https://orcid.org/0009-0004-9362-8792","contributorId":44055,"corporation":false,"usgs":false,"family":"Myers","given":"Jared T.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":909592,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909593,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chapina, Rosaura J.","contributorId":342066,"corporation":false,"usgs":false,"family":"Chapina","given":"Rosaura","email":"","middleInitial":"J.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":909594,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moore, Seth A.","contributorId":342067,"corporation":false,"usgs":false,"family":"Moore","given":"Seth A.","affiliations":[{"id":81835,"text":"Grand Portage Band of Lake Superior Chippewa","active":true,"usgs":false}],"preferred":false,"id":909595,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70255718,"text":"70255718 - 2024 - Metal release from manganese nodules in anoxic seawater and implications for deep-sea mining dewatering operations","interactions":[],"lastModifiedDate":"2024-07-15T16:13:14.868429","indexId":"70255718","displayToPublicDate":"2024-06-27T07:08:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10742,"text":"ACS ES&T Water","active":true,"publicationSubtype":{"id":10}},"title":"Metal release from manganese nodules in anoxic seawater and implications for deep-sea mining dewatering operations","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">The potential mining of deep-sea polymetallic nodules has been gaining increasing attention due to their enrichment in metals essential for a low-carbon future. To date, there have been few scientific studies concerning the geochemical consequences of dewatered mining waste discharge into the pelagic water column, which can inform best practices in future mining operations. Here, we report the results of laboratory incubation experiments that simulate mining discharge into anoxic waters such as those that overlie potential mining sites in the North Pacific Ocean. We find that manganese nodules are reductively dissolved, with an apparent activation energy of 42.8 kJ mol<sup>–1</sup>, leading to the release of associated metals in the order manganese &gt; nickel &gt; copper &gt; cobalt &gt; cadmium &gt; lead. The composition of trace metals released during the incubation allows us to estimate a likely trace metal budget from the simulated dewatering waste plume. These estimates suggest that released cobalt and copper are the most enriched trace metals within the plume, up to ∼15 times more elevated than the background seawater. High copper concentrations can be toxic to marine organisms. Future work on metal toxicity to mesopelagic communities could help us better understand the ecological effects of these fluxes of trace metals.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.4c00166","usgsCitation":"Xiang, Y., Steffen, J.M., Lam, P.J., Gartman, A., Mizell, K., and Fitzsimmons, J.N., 2024, Metal release from manganese nodules in anoxic seawater and implications for deep-sea mining dewatering operations: ACS ES&T Water, v. 4, no. 7, p. 2957-2967, https://doi.org/10.1021/acsestwater.4c00166.","productDescription":"11 p.","startPage":"2957","endPage":"2967","ipdsId":"IP-148637","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439335,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.4c00166","text":"Publisher Index Page"},{"id":430714,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Clarion-Clipperton Zone, Pacific Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -160,\n              25\n            ],\n            [\n              -160,\n              0\n            ],\n            [\n              -115,\n              0\n            ],\n            [\n              -115,\n              25\n            ],\n            [\n              -160,\n              25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Xiang, Yang","contributorId":197619,"corporation":false,"usgs":false,"family":"Xiang","given":"Yang","email":"","affiliations":[],"preferred":false,"id":905403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steffen, Janelle M.","contributorId":339854,"corporation":false,"usgs":false,"family":"Steffen","given":"Janelle","email":"","middleInitial":"M.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":905404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lam, Phoebe J. 0000-0001-6609-698X","orcid":"https://orcid.org/0000-0001-6609-698X","contributorId":222434,"corporation":false,"usgs":false,"family":"Lam","given":"Phoebe","email":"","middleInitial":"J.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":905405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":905406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":905407,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fitzsimmons, Jessica N.","contributorId":197616,"corporation":false,"usgs":false,"family":"Fitzsimmons","given":"Jessica","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":905408,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255885,"text":"70255885 - 2024 - Detection of periodic peaks in Karenia brevis concentration consistent with the time-delay logistic equation","interactions":[],"lastModifiedDate":"2024-07-10T12:08:55.656416","indexId":"70255885","displayToPublicDate":"2024-06-27T07:07:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Detection of periodic peaks in Karenia brevis concentration consistent with the time-delay logistic equation","docAbstract":"<p id=\"sp0065\">The logistic equation models single-species population growth with a sigmoid curve that begins as exponential and ends with an asymptotic approach to a final population determined by natural system carrying capacity. But the population of a natural system often does not stabilize as it approaches carrying capacity. Instead, it exhibits periodic change, sometimes with very large amplitudes. The time-delay modification of the logistic equation accounts for this behavior by connecting the present rate of population growth to conditions at an earlier time. The periodic change in population with time can progress from a monotonic approach to the carrying capacity; to oscillation around the carrying capacity; to limit-cycle periodic change; and, finally, to chaotic change.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.174061","usgsCitation":"Kurtz, B.E., Landmeyer, J.E., and Culter, J.K., 2024, Detection of periodic peaks in Karenia brevis concentration consistent with the time-delay logistic equation: Science of the Total Environment, v. 946, 174061, 13 p., https://doi.org/10.1016/j.scitotenv.2024.174061.","productDescription":"174061, 13 p.","ipdsId":"IP-156971","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":439336,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.174061","text":"Publisher Index Page"},{"id":430887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.22453932882675,\n              28.202140467401122\n            ],\n            [\n              -83.22453932882675,\n              25.11977470858126\n            ],\n            [\n              -80.62077956320161,\n              25.11977470858126\n            ],\n            [\n              -80.62077956320161,\n              28.202140467401122\n            ],\n            [\n              -83.22453932882675,\n              28.202140467401122\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"946","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kurtz, Bruce E.","contributorId":304961,"corporation":false,"usgs":false,"family":"Kurtz","given":"Bruce","email":"","middleInitial":"E.","affiliations":[{"id":35150,"text":"New College of Florida","active":true,"usgs":false}],"preferred":false,"id":905888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landmeyer, James E. 0000-0002-5640-3816","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":216137,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Culter, James K.","contributorId":304962,"corporation":false,"usgs":false,"family":"Culter","given":"James","email":"","middleInitial":"K.","affiliations":[{"id":66192,"text":"Mote Marine Laboratory and Aquarium","active":true,"usgs":false}],"preferred":false,"id":905890,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70255923,"text":"70255923 - 2024 - Boulders modulate hillslope-channel coupling in the northern Alaska Range","interactions":[],"lastModifiedDate":"2024-09-11T16:17:12.569241","indexId":"70255923","displayToPublicDate":"2024-06-27T07:02:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Boulders modulate hillslope-channel coupling in the northern Alaska Range","docAbstract":"<div id=\"144160955\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Active orogens balance tectonic rock uplift with erosion, commonly via river incision coupled to landslide denudation of “threshold” hillslopes, but sediment’s role in this feedback is unclear. We report fluvial geometry, and sediment size, prevalence, and mobility across two ≤600-m-tall gneissic northern Alaska Range anticlines that sustain steep landslide-clad hillslopes but differ 10× in late Pleistocene−recent rock uplift rate. Enigmatically, the river steepens and narrows prominently across the fold experiencing slow surface uplift (∼0.5 mm/yr) but remains low-gradient and wide downstream across the anticline undergoing rapid differential rock uplift (∼5 mm/yr). Frequent bedload mobilization across both folds implies fluvial equilibration to sediment transport despite discrepant channel forms and similarly prevalent hillslope-derived boulders. Boulder prevalence correlates significantly with channel slope and width on the slowly uplifting anticline, but weakly on the rapidly uplifting anticline. Strong correlations across the tectonically quiescent anticline may reflect local incision-suppressing boulder aggradation that forces the channel to steepen and narrow, consistent with field observations. Conversely, weak correlations across the rapidly uplifting anticline imply that boulders may modulate expected tectonic channel adjustment by preferentially aggrading to subdue slope, and deflecting frequently mobile bedload to drive lateral erosion that maintains channel width, steepens adjacent hillslopes, and perpetuates hillslope-channel coupling. Hence, hillslope-derived boulders may occupy important roles in regulating feedbacks between river incision and landslide erosion that differ fundamentally at high and low tectonic rates.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G52086.1","usgsCitation":"Bender, A., and Lease, R.O., 2024, Boulders modulate hillslope-channel coupling in the northern Alaska Range: Geology, v. 52, no. 9, p. 695-699, https://doi.org/10.1130/G52086.1.","productDescription":"5 p.","startPage":"695","endPage":"699","ipdsId":"IP-159401","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":439339,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/geol.s.25970494","text":"External Repository"},{"id":434936,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X63KF2","text":"USGS data release","linkHelpText":"Sediment Transport Data from the Totatlanika River, Alaska, August 2021"},{"id":430886,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Bender, Adrian 0000-0001-7469-1957","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":219952,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":906045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":906046,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70255667,"text":"70255667 - 2024 - Quantitative microbial risk assessment with microbial source tracking for mixed fecal sources contaminating recreational river waters, Iowa, USA","interactions":[],"lastModifiedDate":"2024-07-15T15:45:57.314269","indexId":"70255667","displayToPublicDate":"2024-06-27T06:53:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16870,"text":"Environmental Science & Technology Water","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative microbial risk assessment with microbial source tracking for mixed fecal sources contaminating recreational river waters, Iowa, USA","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Fecal contamination of surface water can cause acute gastrointestinal illness (AGI) among recreators. AGI risk varies among human, livestock, and wildlife fecal sources, but the prevalence of individual sources is unknown for most recreational sites. We estimated AGI risk for six sites near Des Moines, Iowa, using quantitative microbial risk assessment combined with microbial source-tracking (MST). Water samples (<i>n</i><span>&nbsp;</span>= 147) collected over two years were tested for 36 qPCR assays quantifying waterborne pathogens and MST markers specific to avian, bovine, human, and porcine fecal sources. Average swimming risk across all sites was 5 (95% CI: 0.0030–142) to 67 (16–215) AGI cases per 1,000 recreators. Individual fecal sources were rarely associated with swimming exposures where risk was &gt;36 AGI cases per 1,000 recreators; most high-risk exposures were associated with simultaneous occurrence of multiple fecal sources. Iowa’s beach action value for<span>&nbsp;</span><i>Escherichia coli</i><span>&nbsp;</span>(235 MPN/100 mL) identified &gt;90% of high-risk exposures at five of six sites, so was generally protective of public health in this setting. For sites influenced by mixed fecal sources, results illustrate that identifying a single dominant source of risk is less important than recognizing the number of unique fecal sources that impact AGI risk.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.3c00652","usgsCitation":"Burch, T., Stokdyk, J.P., Firnstahl, A.D., Opelt, S., Cook, R.M., Heffron, J., Brown, A., Hruby, C.E., and Borchardt, M.A., 2024, Quantitative microbial risk assessment with microbial source tracking for mixed fecal sources contaminating recreational river waters, Iowa, USA: Environmental Science & Technology Water, v. 4, no. 7, p. 2789-2802, https://doi.org/10.1021/acsestwater.3c00652.","productDescription":"14 p.","startPage":"2789","endPage":"2802","ipdsId":"IP-157730","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439340,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.3c00652","text":"Publisher Index Page"},{"id":430596,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","city":"Des Moines","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.0471532063085,\n              42.053640659420466\n            ],\n            [\n              -94.0471532063085,\n              41.42367919073487\n            ],\n            [\n              -93.32361740215524,\n              41.42367919073487\n            ],\n            [\n              -93.32361740215524,\n              42.053640659420466\n            ],\n            [\n              -94.0471532063085,\n              42.053640659420466\n            ]\n          ]\n        ],\n     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afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Opelt, Sarah A.","contributorId":300168,"corporation":false,"usgs":false,"family":"Opelt","given":"Sarah","middleInitial":"A.","affiliations":[],"preferred":false,"id":905119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Rachel M.","contributorId":300167,"corporation":false,"usgs":false,"family":"Cook","given":"Rachel","middleInitial":"M.","affiliations":[],"preferred":false,"id":905120,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heffron, Joe","contributorId":339799,"corporation":false,"usgs":false,"family":"Heffron","given":"Joe","email":"","affiliations":[],"preferred":false,"id":905121,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Amanda","contributorId":339800,"corporation":false,"usgs":false,"family":"Brown","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":905122,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hruby, Claire E.","contributorId":192690,"corporation":false,"usgs":false,"family":"Hruby","given":"Claire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":905123,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":905124,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70256089,"text":"70256089 - 2024 - Satellite telemetry reveals high-use internesting areas and international foraging extent for loggerhead turtles tagged in southeast Florida, USA","interactions":[],"lastModifiedDate":"2024-07-19T11:36:25.839137","indexId":"70256089","displayToPublicDate":"2024-06-27T06:34:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Satellite telemetry reveals high-use internesting areas and international foraging extent for loggerhead turtles tagged in southeast Florida, USA","docAbstract":"<p class=\"abstract_block\">Developing conservation strategies for highly migratory marine species relies on understanding their spatial distributions. Nesting populations of female loggerhead (<i>Caretta caretta</i>) turtles typically travel from widely dispersed foraging areas and make use of common internesting areas between nesting events. Protection of these areas is essential to the conservation of this species. In this study, we used satellite tracking and behavioral switching state-space movement modeling to examine the internesting use-areas, migration patterns, and foraging area distribution of a previously uninvestigated nesting loggerhead population in southeast Florida. While these turtles spent much of their internesting period close to their nesting site, only 17.4% of the identified internesting area is within the boundaries currently designated under the US Endangered Species Act as critical loggerhead ‘nearshore reproductive habitat’. Additionally, 72% of turtles in this study (17 of 21) that were tracked to foraging grounds have foraging home ranges outside of the USA, with 62% of turtles (n = 13) in The Bahamas. Considering the proximity of their internesting areas to a large human population center and their largely international foraging distribution, this population could benefit from expanding federally designated critical habitat, along with developing collaborative conservation strategies between the USA and The Bahamas.</p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01339","usgsCitation":"Goodwin, G.D., Hart, K., Evans, A.C., and Burkholder, D.A., 2024, Satellite telemetry reveals high-use internesting areas and international foraging extent for loggerhead turtles tagged in southeast Florida, USA: Endangered Species Research, v. 54, p. 245-259, https://doi.org/10.3354/esr01339.","productDescription":"15 p.","startPage":"245","endPage":"259","ipdsId":"IP-160712","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01339","text":"Publisher Index Page"},{"id":431234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.97747397991283,\n              26.62851048726462\n            ],\n            [\n              -81.97747397991283,\n              24.887138979175802\n            ],\n            [\n              -79.64837241741277,\n              24.887138979175802\n            ],\n            [\n              -79.64837241741277,\n              26.62851048726462\n            ],\n            [\n              -81.97747397991283,\n              26.62851048726462\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","noUsgsAuthors":false,"publicationDate":"2024-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodwin, Glenn D. 0000-0001-6802-9924","orcid":"https://orcid.org/0000-0001-6802-9924","contributorId":316773,"corporation":false,"usgs":false,"family":"Goodwin","given":"Glenn","email":"","middleInitial":"D.","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":906650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":906651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Abby C. 0009-0001-6097-6078","orcid":"https://orcid.org/0009-0001-6097-6078","contributorId":340233,"corporation":false,"usgs":false,"family":"Evans","given":"Abby","email":"","middleInitial":"C.","affiliations":[{"id":81512,"text":"Halmos College of Arts and Sciences, Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":906652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burkholder, Derek A. 0000-0001-6315-6932","orcid":"https://orcid.org/0000-0001-6315-6932","contributorId":289783,"corporation":false,"usgs":false,"family":"Burkholder","given":"Derek","email":"","middleInitial":"A.","affiliations":[{"id":62249,"text":"Halmos College of Natural Sciences and Oceanography, Department of Marine and Environmental Science, Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":906653,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256562,"text":"70256562 - 2024 - Black Terns (Chlidonias niger) beyond the breeding grounds: Occurrence, relative density, and habitat associations in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2024-08-22T16:05:19.777014","indexId":"70256562","displayToPublicDate":"2024-06-26T10:59:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Black Terns (<i>Chlidonias niger</i>) beyond the breeding grounds: Occurrence, relative density, and habitat associations in the northern Gulf of Mexico","title":"Black Terns (Chlidonias niger) beyond the breeding grounds: Occurrence, relative density, and habitat associations in the northern Gulf of Mexico","docAbstract":"<p><span>North American Black Terns (</span><i>Chlidonias niger</i><span>) breed primarily in the Prairie Pothole region of southern Canada and the northern United States, winter in Central and South American waters, and often migrate through the northern Gulf of Mexico (nGoM). This species has exhibited long-term population declines and is exposed to a myriad of anthropogenic threats in the nGoM, including oil spills, with an estimated 800–1,000 injured during the&nbsp;</span><i>Deepwater Horizon</i><span>&nbsp;oil spill, yet historical studies of Black Terns' use of the nGoM are sparse, with inconsistent spatial and temporal coverage. Using vessel-based observations collected from 2017 to 2019, we characterize Black Tern spatial and temporal occurrence in marine waters of the nGoM. We develop 2 separate habitat models: one describing spatial and temporal aspects of Black Terns occurrence and the other describing the relative density when present. In 10 months of survey effort, January–October, we observed Black Terns in 7 (Mar–May and Jul–Oct), predominantly on the continental shelf at &lt;200 m depth. Relative densities were greatest in the fall, coinciding with Black Terns' southward migration. Spatial distribution and habitat models suggest an association with river mouths or ports, as well as cool, productive waters, frequently associated near the outflow of the Mississippi River and just off the coast from Corpus Christi, Texas. The enhanced understanding of Black Terns in the nGoM could inform the preparation for, and response to, future oiling events or provide insight into potential interactions with the installation of offshore wind farms and aquaculture.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/23-00069","usgsCitation":"Michael, P.E., Gleason, J., Haney, J., Hixson, K.M., Satgé, Y., and Jodice, P.G., 2024, Black Terns (Chlidonias niger) beyond the breeding grounds: Occurrence, relative density, and habitat associations in the northern Gulf of Mexico: Wilson Journal of Ornithology, v. 136, no. 2, p. 220-236, https://doi.org/10.1676/23-00069.","productDescription":"17 p.","startPage":"220","endPage":"236","ipdsId":"IP-155261","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.06640768994139,\n              25.968336212595545\n            ],\n            [\n              -81.56410467268525,\n              24.655591782200545\n            ],\n            [\n              -81.0728587401813,\n              25.246086829050483\n            ],\n            [\n              -82.48259218249659,\n              27.272254831037472\n            ],\n            [\n              -82.73152989277146,\n              27.960240807935207\n            ],\n            [\n              -82.69786543399637,\n              28.715489724979037\n            ],\n            [\n              -84.01930283028096,\n              30.13642592586335\n            ],\n            [\n              -85.21352357055073,\n              29.683019111608573\n            ],\n            [\n              -86.43868847529218,\n              30.499185485782192\n            ],\n            [\n              -87.48025217176053,\n              30.277107124160494\n            ],\n            [\n              -88.01869425708601,\n              30.521051975468964\n            ],\n            [\n              -89.17037649125658,\n              30.240796867164235\n            ],\n            [\n              -89.90702908193344,\n              29.518977092248832\n            ],\n            [\n              -90.49189050390542,\n              29.36185843606789\n            ],\n            [\n              -91.74270448217844,\n              29.90068888910362\n            ],\n            [\n              -93.01117136756345,\n              29.866650987283208\n            ],\n            [\n              -94.66379808733016,\n              29.61102885408677\n            ],\n            [\n              -94.72573793650419,\n              29.93320591649301\n            ],\n            [\n              -94.98767798427114,\n              29.573223193987033\n            ],\n            [\n              -95.28662091934446,\n              28.98698052519731\n            ],\n            [\n              -96.75825455051769,\n              28.63898925070241\n            ],\n            [\n              -97.57160445145992,\n              27.963607001385867\n            ],\n            [\n              -97.86987981335206,\n              27.03862279886482\n            ],\n            [\n              -97.06640768994139,\n              25.968336212595545\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"136","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Michael, Pamela E.","contributorId":341152,"corporation":false,"usgs":false,"family":"Michael","given":"Pamela","email":"","middleInitial":"E.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gleason, Jeffrey S.","contributorId":341153,"corporation":false,"usgs":false,"family":"Gleason","given":"Jeffrey S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":908007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haney, J. Christopher","contributorId":341154,"corporation":false,"usgs":false,"family":"Haney","given":"J. Christopher","affiliations":[{"id":81710,"text":"Terra Mar Applied Science","active":true,"usgs":false}],"preferred":false,"id":908008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hixson, Kathy M.","contributorId":341155,"corporation":false,"usgs":false,"family":"Hixson","given":"Kathy","email":"","middleInitial":"M.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Satgé, Yvan G.","contributorId":341156,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan G.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908011,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257777,"text":"70257777 - 2024 - Perspectives on the future of host-microbe biology from the Council on Microbial Sciences of the American Society for Microbiology","interactions":[],"lastModifiedDate":"2024-08-27T13:44:58.537194","indexId":"70257777","displayToPublicDate":"2024-06-26T08:40:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5160,"text":"mSphere","active":true,"publicationSubtype":{"id":10}},"title":"Perspectives on the future of host-microbe biology from the Council on Microbial Sciences of the American Society for Microbiology","docAbstract":"<p><span>Host-microbe biology (HMB) stands on the cusp of redefinition, challenging conventional paradigms to instead embrace a more holistic understanding of the microbial sciences. The American Society for Microbiology (ASM) Council on Microbial Sciences hosted a virtual retreat in 2023 to identify the future of the HMB field and innovations needed to advance the microbial sciences. The retreat presentations and discussions collectively emphasized the interconnectedness of microbes and their profound influence on humans, animals, and environmental health, as well as the need to broaden perspectives to fully embrace the complexity of these interactions. To advance HMB research, microbial scientists would benefit from enhancing interdisciplinary and transdisciplinary research to utilize expertise in diverse fields, integrate different disciplines, and promote equity and accessibility within HMB. Data integration will be pivotal in shaping the future of HMB research by bringing together varied scientific perspectives, new and innovative techniques, and ’omics approaches. ASM can empower under-resourced groups with the goal of ensuring that the benefits of cutting-edge research reach every corner of the scientific community. Thus, ASM will be poised to steer HMB toward a future that champions inclusivity, innovation, and accessible scientific progress.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/msphere.00256-24","usgsCitation":"Gestal, M., Oates, A.E., Akob, D., Criss, A., Committee, H.R., and Speakers, H.R., 2024, Perspectives on the future of host-microbe biology from the Council on Microbial Sciences of the American Society for Microbiology: mSphere, v. 9, no. 7, e00256-24, 16 p., https://doi.org/10.1128/msphere.00256-24.","productDescription":"e00256-24, 16 p.","ipdsId":"IP-162159","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":439345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/msphere.00256-24","text":"Publisher Index Page"},{"id":433191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gestal, Monica","contributorId":343672,"corporation":false,"usgs":false,"family":"Gestal","given":"Monica","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":911654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oates, A. Elizabeth","contributorId":343687,"corporation":false,"usgs":false,"family":"Oates","given":"A.","email":"","middleInitial":"Elizabeth","affiliations":[{"id":82151,"text":"American Society for Microbiology","active":true,"usgs":false}],"preferred":false,"id":911655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":911656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Criss, Alison","contributorId":343676,"corporation":false,"usgs":false,"family":"Criss","given":"Alison","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":911657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Committee, Host-Microbe Retreat Planning","contributorId":343677,"corporation":false,"usgs":false,"family":"Committee","given":"Host-Microbe","email":"","middleInitial":"Retreat Planning","affiliations":[],"preferred":false,"id":911658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Speakers, Host-Microbe Retreat","contributorId":343678,"corporation":false,"usgs":false,"family":"Speakers","given":"Host-Microbe","email":"","middleInitial":"Retreat","affiliations":[],"preferred":false,"id":911659,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255599,"text":"sir20245056 - 2024 - Two-dimensional hydraulic model for the Chain of Lakes on the Fox River near McHenry, Illinois","interactions":[],"lastModifiedDate":"2026-02-03T19:43:57.736197","indexId":"sir20245056","displayToPublicDate":"2024-06-25T15:43:18","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5056","displayTitle":"Two-Dimensional Hydraulic Model for the Chain of Lakes on the Fox River near McHenry, Illinois","title":"Two-dimensional hydraulic model for the Chain of Lakes on the Fox River near McHenry, Illinois","docAbstract":"<p>Forecasts of flows entering and leaving the Chain of Lakes on the Fox River in northeastern Illinois are critical information to water-resource managers operating the Stratton Dam at McHenry, Illinois. These managers determine the optimal operation of the Stratton Dam at McHenry, Ill., to manage Chain of Lakes pool levels and to help mitigate flooding in the Chain of Lakes system. In 2020, the U.S. Geological Survey (USGS) and the Illinois Department of Natural Resources–Office of Water Resources (IDNR–OWR) began a cooperative study to develop a system to enable engineers and planners to simulate and communicate water-surface elevations and flows and to proactively prepare for runoff events forecasted for the Chain of Lakes. The hydraulic model described in this report may be helpful to the IDNR–OWR for optimizing the operation of the Stratton Dam and includes the implementation of three newly installed torque-tube crest gates that became operational in 2020.</p><p>The hydraulic model for the Chain of Lakes was developed using the Hydrologic Engineering Center–River Analysis System program (version 6.5). The hydraulic model was used to simulate water-surface elevations and flows through the 18.5-mile Chain of Lakes system to 1.7 miles downstream from the Stratton Dam. Five USGS streamgages within the study area were used as reference points for model calibration and initial water-surface elevations for beginning a simulation. The hydraulic model was calibrated to three runoff events that incorporated the design specifications and observed gate operations of the Stratton Dam; furthermore, the hydraulic model simulated a validation event and a substantial flooding event during July 2017. The July 2017 event predated the torque-tube crest gate installation but nevertheless tested the performance of the model for such a substantial event. The model simulation results were a good fit to observed records at USGS streamgages with simulated peak water-surface elevations within −0.36–0.15 foot of observed events. The hydraulic model was then implemented into a forecast workflow that streamlines implementation of model inputs and documents the model outputs tailored to IDNR–OWS Stratton Dam operations and interpretations of simulated water-surface elevations and flows.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245056","collaboration":"Prepared in cooperation with the Illinois Department of Natural Resources–Office of Water Resources","usgsCitation":"Cigrand, C.V., and Ament, M.R., 2024, Two-dimensional hydraulic model for the Chain of Lakes on the Fox River near McHenry, Illinois: U.S. Geological Survey Scientific Investigations Report 2024–5056, 20 p., https://doi.org/10.3133/sir20245056.","productDescription":"Report: vii, 20 p.; Data Release; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-137180","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":499478,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117099.htm","linkFileType":{"id":5,"text":"html"}},{"id":430505,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":430504,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P16H3TDH","text":"USGS data release","linkHelpText":"Archive of the hydraulic model used in the two-dimensional simulation of the Chain of Lakes on the Fox River near McHenry, Illinois:"},{"id":430503,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245056/full"},{"id":430502,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5056/images/"},{"id":430501,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5056/sir20245056.XML"},{"id":430500,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5056/sir20245056.pdf","text":"Report","size":"3.5 MB","description":"SIR 2024–5056"},{"id":430499,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5056/coverthb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Fox River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.3061687403806,\n              42.29838954847517\n            ],\n            [\n              -88.08497136642455,\n              42.29838954847517\n            ],\n            [\n              -88.08497136642455,\n              42.4987780744203\n            ],\n            [\n              -88.3061687403806,\n              42.4987780744203\n            ],\n            [\n              -88.3061687403806,\n              42.29838954847517\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road<br>Rolla, MO 65401</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Model Development</li><li>Model Calibration and Validation</li><li>Model Sensitivity, Uncertainties, and Limitations</li><li>Workflow Development</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-06-25","noUsgsAuthors":false,"publicationDate":"2024-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Cigrand, Charles V. 0000-0002-4177-7583","orcid":"https://orcid.org/0000-0002-4177-7583","contributorId":201575,"corporation":false,"usgs":true,"family":"Cigrand","given":"Charles","email":"","middleInitial":"V.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ament, Michael R. 0000-0003-2715-6147","orcid":"https://orcid.org/0000-0003-2715-6147","contributorId":335922,"corporation":false,"usgs":true,"family":"Ament","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904883,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256414,"text":"70256414 - 2024 - Multistage time-to-event models improve survival inference by partitioning mortality processes of tracked organisms","interactions":[],"lastModifiedDate":"2024-08-01T15:47:52.002264","indexId":"70256414","displayToPublicDate":"2024-06-25T10:45:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Multistage time-to-event models improve survival inference by partitioning mortality processes of tracked organisms","docAbstract":"<p><span>Advances in tagging technologies are expanding opportunities to estimate survival of fish and wildlife populations. Yet, capture and handling effects could impact survival outcomes and bias inference about natural mortality processes. We developed a multistage time-to-event model that can partition the survival process into sequential phases that reflect the tagged animal experience, including handling and release mortality, post-release recovery mortality, and subsequently, natural mortality. We demonstrate performance of multistage survival models through simulation testing and through fish and bird telemetry case studies. Models are implemented in a Bayesian framework and can accommodate left, right, and interval censorship events. Our results indicate that accurate survival estimates can be achieved with reasonable sample sizes (</span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>n</mi><mo>&amp;#x2248;</mo><mn>100</mn><mo>+</mo><mo stretchy=&quot;false&quot;>)</mo></math>\"><span class=\"MJX_Assistive_MathML\">\uD835\uDC5B≈100+)</span></span></span><span>&nbsp;and that multimodel inference can inform hypotheses about the configuration and length of survival stages needed to adequately describe mortality processes for tracked specimens. While we focus on survival estimation for tagged fish and wildlife populations, multistage time-to-event models could be used to understand other phenomena of interest such as migration, reproduction, or disease events across a range of taxa including plants and insects.</span></p>","language":"English","publisher":"Nature Publications","doi":"10.1038/s41598-024-64653-w","usgsCitation":"Sethi, S.A., Koeberle, A.L., Poulton, A.J., Linden, D., Diefenbach, D.R., Buderman, F.E., Casalena, M.J., and Duren, K., 2024, Multistage time-to-event models improve survival inference by partitioning mortality processes of tracked organisms: Scientific Reports, v. 14, 14628, 11 p., https://doi.org/10.1038/s41598-024-64653-w.","productDescription":"14628, 11 p.","ipdsId":"IP-159945","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-64653-w","text":"Publisher Index Page"},{"id":432036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2024-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Sethi, Suresh A. 0000-0002-0053-1827","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":296987,"corporation":false,"usgs":false,"family":"Sethi","given":"Suresh","email":"","middleInitial":"A.","affiliations":[{"id":64271,"text":"U.S. Geological Survey, New York Cooperative Fish and Wildlife Research Unit, Ithaca, New York 14853","active":true,"usgs":false}],"preferred":false,"id":907303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koeberle, Alex L.","contributorId":340503,"corporation":false,"usgs":false,"family":"Koeberle","given":"Alex","email":"","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":907304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulton, Anna J.","contributorId":340504,"corporation":false,"usgs":false,"family":"Poulton","given":"Anna","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":907305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linden, Daniel W.","contributorId":229525,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":907306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buderman, Frances E.","contributorId":171634,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":907308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casalena, Mary Jo","contributorId":98965,"corporation":false,"usgs":false,"family":"Casalena","given":"Mary","email":"","middleInitial":"Jo","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":907309,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duren, Kenneth","contributorId":340507,"corporation":false,"usgs":false,"family":"Duren","given":"Kenneth","email":"","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":907310,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70255979,"text":"70255979 - 2024 - Population and spatial dynamics of desert bighorn sheep in Grand Canyon during an outbreak of respiratory pneumonia","interactions":[],"lastModifiedDate":"2024-07-11T15:05:50.328544","indexId":"70255979","displayToPublicDate":"2024-06-25T09:59:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Population and spatial dynamics of desert bighorn sheep in Grand Canyon during an outbreak of respiratory pneumonia","docAbstract":"<p><strong>Introduction:</strong><span>&nbsp;</span>Terrestrial species in riverine ecosystems face unique constraints leading to diverging patterns of population structure, connectivity, and disease dynamics. Desert bighorn sheep (<i>Ovis canadensis nelsoni</i>) in Grand Canyon National Park, a large native population in the southwestern USA, offer a unique opportunity to evaluate population patterns and processes in a remote riverine system with ongoing anthropogenic impacts. We integrated non-invasive, invasive, and citizen-science methods to address questions on abundance, distribution, disease status, genetic structure, and habitat fragmentation.</p><p><strong>Methods:</strong><span>&nbsp;</span>We compiled bighorn sightings collected during river trips by park staff, commercial guides, and private citizens from 2000–2018 and captured bighorn in 2010–2016 to deploy GPS collars and test for disease. From 2011–2015, we non-invasively collected fecal samples and genotyped them at 9–16 microsatellite loci for individual identification and genetic structure. We used assignment tests to evaluate genetic structure and identify subpopulations, then estimated gene flow and recent migration to evaluate fragmentation. We used spatial capture-recapture to estimate annual population size, distribution, and trends after accounting for spatial variation in detection with a resource selection function model.</p><p><strong>Results and discussion:</strong><span>&nbsp;</span>From 2010–2018, 3,176 sightings of bighorn were reported, with sightings of 56–145 bighorn annually on formal surveys. From 2012–2016, bighorn exhibiting signs of respiratory disease were observed along the river throughout the park. Of 25 captured individuals, 56% were infected by<span>&nbsp;</span><i>Mycoplasma ovipneumoniae</i>, a key respiratory pathogen, and 81% were recently exposed. Pellet sampling for population estimation from 2011–2015 yielded 1,250 genotypes and 453 individuals. We detected 6 genetic clusters that exhibited mild to moderate genetic structure (<i>F</i><sub>ST</sub><span>&nbsp;</span>0.022–0.126). The river, distance, and likely topography restricted recent gene flow, but we detected cross-river movements in one section via genetic recaptures, no subpopulation appeared completely isolated, and genetic diversity was among the highest reported. Recolonization of one large stretch of currently empty habitat appears limited by the constrained topology of this system. Annual population estimates ranged 536–552 (95% CrI range 451–647), lamb:ewe ratios varied, and no significant population decline was detected. We provide a multi-method sampling framework useful for sampling other wildlife in remote riverine systems.</p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2024.1377214","usgsCitation":"Epps, C.W., Holton, P.B., Monello, R.J., Crowhurst, R.S., Gaulke, S.M., Janousek, W.M., Creech, T.G., and Graves, T., 2024, Population and spatial dynamics of desert bighorn sheep in Grand Canyon during an outbreak of respiratory pneumonia: Frontiers in Ecology and Evolution, v. 12, 1377214, 22 p., https://doi.org/10.3389/fevo.2024.1377214.","productDescription":"1377214, 22 p.","ipdsId":"IP-137271","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439348,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/fevo.2024.1377214","text":"Publisher Index Page"},{"id":434937,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K89AA3","text":"USGS data release","linkHelpText":"Desert bighorn sheep (Ovis canadensis nelsoni) datasets from Grand Canyon National Park, 2010-2016"},{"id":430966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.5504498659519,\n              36.84244671894457\n            ],\n            [\n              -114.04234802909026,\n              36.84244671894457\n            ],\n            [\n              -114.04234802909026,\n              35.72909582502355\n            ],\n            [\n              -111.5504498659519,\n              35.72909582502355\n            ],\n            [\n              -111.5504498659519,\n              36.84244671894457\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Epps, Clinton W.","contributorId":198148,"corporation":false,"usgs":false,"family":"Epps","given":"Clinton","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":906239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holton, P. Brandon","contributorId":340119,"corporation":false,"usgs":false,"family":"Holton","given":"P.","email":"","middleInitial":"Brandon","affiliations":[],"preferred":false,"id":906240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monello, Ryan J.","contributorId":184143,"corporation":false,"usgs":false,"family":"Monello","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":906241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crowhurst, Rachel S.","contributorId":198153,"corporation":false,"usgs":false,"family":"Crowhurst","given":"Rachel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":906242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaulke, Sarah Mccrimmon 0000-0002-2657-5844","orcid":"https://orcid.org/0000-0002-2657-5844","contributorId":225564,"corporation":false,"usgs":true,"family":"Gaulke","given":"Sarah","email":"","middleInitial":"Mccrimmon","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":906243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janousek, William Michael 0000-0003-3978-1775","orcid":"https://orcid.org/0000-0003-3978-1775","contributorId":237980,"corporation":false,"usgs":true,"family":"Janousek","given":"William","email":"","middleInitial":"Michael","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":906244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Creech, Tyler G.","contributorId":198152,"corporation":false,"usgs":false,"family":"Creech","given":"Tyler","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":906245,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":906246,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70259266,"text":"70259266 - 2024 - An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA)","interactions":[],"lastModifiedDate":"2024-10-03T14:48:46.639349","indexId":"70259266","displayToPublicDate":"2024-06-25T09:46:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA)","docAbstract":"<p><span>Detailed, accurate information on flow patterns in river channels can improve understanding of habitat conditions, geomorphic processes, and potential hazards to help inform water management. Data describing flow patterns in river channels can be obtained efficiently via image-based techniques that have become more widely used in recent years as the number of platforms for acquiring images has expanded and the number of algorithms for inferring velocities has grown. Image-based techniques have been incorporated into various software packages, including the Toolbox for River Velocimetry using Images from Aircraft (TRiVIA). TRiVIA is a freely available, standalone computer program that provides a comprehensive workflow for performing particle image velocimetry (PIV)-based analyses within a graphical interface. This paper summarizes major enhancements incorporated into the latest release of TRiVIA, version 2.1. For example, a new Tool for Input Parameter Selection (TIPS) provides guidance for specifying key inputs to the PIV algorithm by allowing users to explore relationships between flow velocity, pixel size, output vector spacing, and frame interval. Improved visualization capabilities include the ability to create streamlines and display PIV output on an interactive web map. The program now provides greater flexibility for importing field data in various formats and selecting which observations to use for accuracy assessment. The most substantial additions to TRiVIA 2.1 are the ability to integrate bathymetric information with image-derived velocity estimates to calculate river discharge and to use images acquired from moving aircraft to efficiently map long segments of large rivers to support habitat assessment, contaminant transport studies, and a range of other applications.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4333","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2024, An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA): River Research and Applications, v. 40, no. 8, p. 1602-1616, https://doi.org/10.1002/rra.4333.","productDescription":"15 p.","startPage":"1602","endPage":"1616","ipdsId":"IP-163908","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":466990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4333","text":"Publisher Index Page"},{"id":462540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":914715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914716,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70255575,"text":"sir20245041 - 2024 - Representation of surface-water flows using Gradient-Related Discharge in an Everglades Network","interactions":[],"lastModifiedDate":"2026-02-03T19:22:10.1439","indexId":"sir20245041","displayToPublicDate":"2024-06-25T09:45:01","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5041","displayTitle":"Representation of Surface-Water Flows Using Gradient-Related Discharge in an Everglades Network","title":"Representation of surface-water flows using Gradient-Related Discharge in an Everglades Network","docAbstract":"<div class=\"user-content-block\"><p>The Everglades Depth Estimation Network interpolates water-level gage data to produce daily water-level elevations for the Everglades in south Florida. These elevations were used to estimate flow vectors (gradients and directions) and volumetric flow rates using the Gradient-Related Discharge in an Everglades Network (GARDEN) application developed by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers. Flow rates in both the east-west and north-south directions were computed on a 400-meter square grid using modified parameters in the Manning’s equation. The frictional resistance parameter in the Manning’s equation was calibrated to measured flow rates at coastal creeks fed by Everglades Depth Estimation Network boundary flows. Levees and other features that act as barriers to flow were defined as “no-flow” grid cells where vectors were set to zero.</p><p>The flow volume magnitudes were calibrated with 2020 daily values of coastal river flows, and verification was performed using 2021 data. Within a given day, the measured coastal river flows fluctuate more than the GARDEN boundary flows because of tidal and wind forcings. Because the GARDEN boundary flows were the upstream water source for the coastal rivers, calibration focused on matching average daily flow volumes rather than daily fluctuations. The Pearson’s correlation coefficient is 0.766 for the 2020 calibration period and 0.566 for the 2021 verification period.</p><p>Applying GARDEN to periods with hydraulic-control-structure releases allows the propagation of structure flows to be seen in the daily flow-vector maps along with the multiday response of flows farther downgradient. Flow vectors may be overestimated near control structures because of difficulties in resolving the water gradient downstream from the structure. Flow vectors farther from the structure are more accurate than those near the structure.</p></div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245041","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","programNote":"Water Availability and Use Science Program","usgsCitation":"Swain, E., and Adams, T., 2024, Representation of surface-water flows using Gradient-Related Discharge in an Everglades Network: U.S. Geological Survey Scientific Investigations Report 2024–5041, 19 p., https://doi.org/10.3133/sir20245041.","productDescription":"Report: vi, 19 p.;2 Data Releases; Database; Software Release","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-148769","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":430460,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://sofia.usgs.gov/eden/garden/","text":"USGS Data Release","linkHelpText":"Gradient-Related Discharge in an Everglades Network (GARDEN) viewer"},{"id":430457,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245041/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5041 HTML"},{"id":430456,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5041/sir20245041.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5041 XML"},{"id":499464,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117098.htm","linkFileType":{"id":5,"text":"html"}},{"id":430498,"rank":9,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P138WZSY","text":"Gradient-Related Discharge in an Everglades Network (GARDEN)","linkHelpText":"- Version 1.0.0 Initial release of the GARDEN flow vector tool for EDEN"},{"id":430451,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5041/coverthb.jpg"},{"id":430455,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5041/sir20245041.pdf","size":"4.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5041"},{"id":430459,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://waterdata.usgs.gov/nwis","text":"USGS Water Data for the Nation","linkHelpText":"USGS National Water Information System database"},{"id":430458,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://www.sfwmd.gov/science-data/dbhydro","linkHelpText":"- South Florida Water Management District database"},{"id":430454,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5041/images"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.24296101320105,\n              26.830477146945583\n            ],\n            [\n              -82.24296101320105,\n              24.927823593384815\n            ],\n            [\n              -79.63920124757647,\n              24.927823593384815\n            ],\n            [\n              -79.63920124757647,\n              26.830477146945583\n            ],\n            [\n              -82.24296101320105,\n              26.830477146945583\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\" href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>4446 Pet Lane, Suite 108<br>Lutz, FL 33559<br></p><p><a id=\"LPlnk103145\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Previous Development of the Everglades Depth Estimation Network (EDEN)</li><li>Methodology</li><li>Implementation of GARDEN Python Version 3.12.3 Script (App)</li><li>Results</li><li>Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-06-25","noUsgsAuthors":false,"publicationDate":"2024-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Swain, E. 0000-0001-7168-708X","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":339662,"corporation":false,"usgs":true,"family":"Swain","given":"E.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, T. 0000-0002-3763-1098","orcid":"https://orcid.org/0000-0002-3763-1098","contributorId":339663,"corporation":false,"usgs":true,"family":"Adams","given":"T.","email":"","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904804,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70255547,"text":"ofr20241035 - 2024 - Bibliography of water-quality studies in Gateway National Recreation Area, New York and New Jersey","interactions":[],"lastModifiedDate":"2026-01-29T19:48:21.704855","indexId":"ofr20241035","displayToPublicDate":"2024-06-25T08:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1035","displayTitle":"Bibliography of Water-Quality Studies in Gateway National Recreation Area, New York and New Jersey","title":"Bibliography of water-quality studies in Gateway National Recreation Area, New York and New Jersey","docAbstract":"<p>The U.S. Geological Survey (USGS) provided technical assistance to the National Park Service (NPS) as part of the USGS-NPS Water-Quality Partnership, by gathering references related to water-quality research conducted in the three units of Gateway National Recreation Area (GATE): Jamaica Bay and Staten Island in New York, and Sandy Hook in New Jersey. As part of this effort, a literature search was performed to compile previous water-quality research conducted within the boundaries of GATE. The resulting bibliography is meant to assist GATE resource managers in understanding the extent of available data and developing plans to close data gaps.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241035","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Savoy, P., Marionkova, M., and Schubert, C., 2024, Bibliography of water-quality studies in Gateway National Recreation Area, New York and New Jersey: U.S. Geological Survey Open-File Report 2024–1035, 7 p., https://doi.org/10.3133/ofr20241035.","productDescription":"iii, 7 p.","numberOfPages":"7","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161856","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":499256,"rank":6,"type":{"id":36,"text":"NGMDB Index 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